Senior Specialist Solutions Architect - AI & ML Engineer

As a Senior Specialist Solutions Architect - AI & ML Engineer, you will be the trusted technical ML & AI expert for both Databricks customers and the Field Engineering organisation.

You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform.

The impact you will have:

• Architect production-level ML & AI workloads for customers using the unified platform, including agents, end-to-end ML pipelines, training/inference optimisation, integration with cloud-native services, MLOps, etc.
• Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems, natural language querying of structured data, AI evaluation and observability, and monitoring systems.
• Build, scale, and optimise customer AI workloads and apply best-in-class MLOps to productionise these workloads across various domains.
• Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering to model monitoring.
• Collaborate cross-functionally with product and engineering teams to represent the voice of the customer and influence the product roadmap.

What we look for:

• 7+ years of hands-on industry ML experience in at least one of the following:
• ML Engineer: Build and maintain production-grade cloud infrastructure that supports the deployment of ML applications.
• AI Engineer: Experience with the latest techniques in LLMs & agentic systems.
• Experience with data engineering or a good understanding of the concept of data engineering.
• Experience communicating technical concepts to non-technical and technical audiences.
• Passion for collaboration, life-long learning, and driving business value through ML & AI.
• Preferred: 5+ years of customer-facing experience in a pre-sales or post-sales role.

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all our employees.